{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#%%\n",
    "import pprint\n",
    "import numpy as np \n",
    "import pandas as pd \n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.neural_network import MLPRegressor\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "from sklearn.ensemble import GradientBoostingRegressor\n",
    "from sklearn.ensemble import AdaBoostRegressor\n",
    "from sklearn.decomposition import PCA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#%% hyperparameter\n",
    "TRAIN_SIZE = 9000\n",
    "# UpdateTime is an time string"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#%% get tain_data and test_data\n",
    "np_data = pd.read_csv(\"sample10000.csv\").drop(labels=\"UpdateTime\",axis=1).to_numpy()\n",
    "np_labels = pd.read_csv(\"labels10000.csv\").to_numpy()[:,0]\n",
    "\n",
    "train_data = np_data[:TRAIN_SIZE]\n",
    "test_data = np_data[TRAIN_SIZE:]\n",
    "\n",
    "train_labels = np_labels[:TRAIN_SIZE]\n",
    "test_labels = np_labels[TRAIN_SIZE:]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## feature tools"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import featuretools as ft"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv(\"sample10000.csv\")\n",
    "labels = pd.read_csv(\"labels10000.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.drop([\"UpdateTime\",\"Turnover\"],axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "data.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "Index(['indicator1', 'indicator2', 'indicator3', 'indicator4', 'indicator5',\n",
      "       'indicator6', 'indicator7', 'indicator8', 'indicator9', 'indicator10',\n",
      "       ...\n",
      "       'AskVolume2', 'AskVolume1', 'BidVolume1', 'BidVolume2', 'BidVolume3',\n",
      "       'BidVolume4', 'BidVolume5', 'OpenInterest', 'UpperLimitPrice',\n",
      "       'LowerLimitPrice'],\n",
      "      dtype='object', length=139)\n",
      "RangeIndex(start=0, stop=9999, step=1)\n",
      "1.515180e+09    27\n",
      "1.043310e+09    25\n",
      "6.401900e+08    24\n",
      "1.136820e+09    23\n",
      "2.158790e+09    21\n",
      "1.867470e+09    21\n",
      "1.015380e+09    19\n",
      "2.212630e+09    18\n",
      "9.369440e+08    17\n",
      "1.480660e+09    17\n",
      "1.871620e+09    16\n",
      "1.850190e+09    15\n",
      "1.181700e+09    15\n",
      "1.181360e+09    15\n",
      "2.051840e+09    15\n",
      "1.011900e+09    14\n",
      "2.228790e+09    14\n",
      "1.846710e+09    14\n",
      "7.597410e+08    14\n",
      "1.965260e+09    14\n",
      "1.581730e+09    14\n",
      "1.501170e+09    13\n",
      "1.006850e+09    13\n",
      "1.538150e+09    13\n",
      "1.627700e+09    13\n",
      "2.035440e+09    13\n",
      "1.046010e+09    13\n",
      "2.140500e+09    13\n",
      "9.526590e+08    13\n",
      "1.850410e+09    13\n",
      "                ..\n",
      "7.502100e+08     1\n",
      "2.058800e+09     1\n",
      "1.320430e+09     1\n",
      "1.903380e+09     1\n",
      "8.279370e+08     1\n",
      "1.735580e+09     1\n",
      "1.335670e+09     1\n",
      "2.505010e+08     1\n",
      "8.728280e+08     1\n",
      "4.307550e+08     1\n",
      "4.643110e+08     1\n",
      "2.615170e+08     1\n",
      "3.468740e+08     1\n",
      "2.071030e+09     1\n",
      "1.957960e+09     1\n",
      "8.173920e+08     1\n",
      "7.945060e+08     1\n",
      "1.265650e+09     1\n",
      "2.092230e+09     1\n",
      "2.037350e+09     1\n",
      "1.421150e+09     1\n",
      "1.299150e+09     1\n",
      "1.947850e+09     1\n",
      "3.331750e+08     1\n",
      "1.232030e+09     1\n",
      "2.238430e+09     1\n",
      "1.454770e+09     1\n",
      "1.970200e+09     1\n",
      "3.583300e+08     1\n",
      "3.103780e+08     1\n",
      "Name: Turnover, Length: 3898, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(data.isnull().sum().sum()) # 数据没有缺失\n",
    "print(data.columns) # 所有的数据标签\n",
    "print(data.index) # 数据序号\n",
    "print(data[\"Turnover\"].value_counts()) # 统计数据分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"id\"] = [i for i in data.index] #增加唯一标识符\n",
    "\n",
    "es = ft.EntitySet(id = \"sales\")\n",
    "\n",
    "es.entit\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## PCA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "mypca = PCA()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
